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Sisense’s Q2 Release: A Modern Data Experience Across the Analytics Continuum

Sisense

Another feature of In-Warehouse Data Prep is the warehouse statistics profiling view, which allows users to understand their data at a glance, identifying patterns, relationships, and unexpected values. In-Warehouse Data Prep supports both AWS Redshift and Snowflake data warehouses. Self-service dashboards: Your insights, your way.

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5 tips for excelling at self-service analytics

CIO Business Intelligence

They’re not required to have any experience with analytics or background in statistics or other related disciplines. Self-service enables all functions, including operations, finance, procurement, supply chain, and continuous improvement teams, to perform data discovery and create powerful visualizations. “We

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Great Storytelling With Data: Visualize Simply And Focus Obsessively

Occam's Razor

Avoid complex visualizations – they get in the way! My goal is that you'll learn a set of filters you'll use as you think about the best ways to create your stories, however you choose to tell them with whatever visual output you most love. Avoid complex visualizations – they get in the way! Teddy ready?

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What is Automated Data Discovery?

Octopai

There’s so much of it that you can’t possibly visualize it all, even in summarized form. – Visualizing your data landscape: By slicing and dicing the data landscape in different ways, what connections, relationships, and outliers can be found? Data Discovery, Defined. What hidden trends can be identified?

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Data scientist as scientist

The Unofficial Google Data Science Blog

Note also that this account does not involve ambiguity due to statistical uncertainty. As you can see from the tiny confidence intervals on the graphs, big data ensured that measurements, even in the finest slices, were precise. We sliced and diced the experimental data in many many ways.

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Smarten Announces Sentiment Analysis Capability Designed for Business Users!

Smarten

Businesses can analyze text to understand positive, negative and neutral sentiments, and can analyze the sentiments further with slice and dice with context variables such as persons location or demography.

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What Is Embedded Analytics?

Jet Global

Plus, there is an expectation that tools be visually appealing to boot. In the past, data visualizations were a powerful way to differentiate a software application. Their dashboards were visually stunning. Today, free visualizations seem to be everywhere. It’s all about context. End users expect more from analytics too.